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Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths.

, , , , and . Image Vis. Comput., 28 (4): 590-604 (2010)

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ICDAR 2009 Handwriting Segmentation Contest., , and . ICDAR, page 1393-1397. IEEE Computer Society, (2009)Word Segmentation Using the Student's-t Distribution., , , and . DAS, page 78-83. IEEE Computer Society, (2016)Efficient Document Image Segmentation Representation by Approximating Minimum-Link Polygons., , , and . DAS, page 293-298. IEEE Computer Society, (2016)A Two-Step Dewarping of Camera Document Images., , , and . Document Analysis Systems, page 209-216. IEEE Computer Society, (2008)An Alternative Deep Feature Approach to Line Level Keyword Spotting., , , , and . CVPR, page 12658-12666. Computer Vision Foundation / IEEE, (2019)Compact Deep Descriptors for Keyword Spotting., , , , and . ICFHR, page 315-320. IEEE Computer Society, (2018)Segmentation of Historical Handwritten Documents into Text Zones and Text Lines., , and . ICFHR, page 464-469. IEEE Computer Society, (2014)Historical Typewritten Document Recognition Using Minimal User Interaction., , , , and . HIP@ICDAR, page 31-38. ACM, (2015)relocated from Gammarth, Tunisia.Automatic unsupervised parameter selection for character segmentation., , , and . Document Analysis Systems, page 409-416. ACM, (2010)ICFHR 2012 Competition on Writer Identification Challenge 1: Latin/Greek Documents., , and . ICFHR, page 829-834. IEEE Computer Society, (2012)